We bring AI expertise to automotive engineering — where it actually creates value. In your tools, on your terms, under your control.
As system complexity explodes and development cycles shrink, four failure patterns keep stalling programs across the industry:
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Engineering toolchains have become a fragmented mess of isolated platforms. Requirements engineering, test orchestration, and CI/CD pipelines are held together by manual handoffs and custom workarounds. When AI is finally introduced, it's usually built as just another disconnected, parallel platform—forcing engineers to break their workflow instead of embedding intelligence directly into their existing ASPICE-compliant processes.
Modern SDV architectures generate terabytes of CAN, Ethernet, and trace data daily. Simple rule-based scripts constantly trigger false positives or miss subtle, cross-domain anomalies entirely. Instead of engineering new features, highly skilled developers waste weeks manually hunting through infinite log files to find the true root cause of a single phantom bug.
Engineering teams desperately need advanced AI tools to accelerate development, but strict corporate IT policies, IP protection, and TISAX constraints completely block modern cloud-based AI. By the time a secure, compliant internal environment is finally negotiated, procured, and approved by all stakeholders, the critical project phase is already over and the momentum is lost.
Generic data scientists view data as abstract numbers—they don't understand vehicle architecture, bus latencies, or how a physical sensor glitch actually manifests in a trace log. Conversely, automotive engineers rarely have the time to master advanced AI architectures. This disconnect leads to stalled initiatives, endless proof-of-concepts, and theoretical models that never make it into series production.
While 83% of German employers face a general talent shortage, the demand for AI/ML Engineers in the DACH region is now growing 3.9x faster than the available talent pool—severely outpacing the need for traditional software developers (IW Köln / ManpowerGroup).
We provide AI consulting designed specifically for automotive engineering — focused on the bottlenecks that generic approaches can't reach.
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We embed AI workflows into the tools your teams already use. No parallel platforms.
We don't believe in adding yet another isolated platform to your already fragmented toolchain. Instead, we architect modular AI solutions that plug directly into your existing ASPICE-compliant processes. From automating requirements engineering to smart test orchestration within your CI/CD pipelines, we ensure the AI acts as a natural, integrated extension of your team's current workflow.
Predictable timelines. Structured rollout with clear milestones.
AI-driven analysis pipelines on your systems to cut through log noise and isolate true anomalies.
Automotive validation teams are drowning in terabytes of log data. We deploy advanced log analytics and anomaly detection directly onto your systems to separate critical physical behaviors from mere data noise. By combining traditional rule-based validation with targeted ML analytics, we automate root-cause analysis for complex, system-spanning errors—delivering interactive data dashboards that help your engineers locate the exact ECU or bus failure in hours instead of weeks.
Fewer engineers needed for validation. Issues found in hours, not weeks.
On-premise, cloud, or hybrid — we build AI solutions for the deployment model that fits your reality.
Generic cloud AI solutions often fail at the first IT compliance check. We build AI architectures centered entirely around your strict data sovereignty requirements. Whether it requires an isolated on-premise setup, a hybrid architecture, or a TISAX- and GDPR-compliant private cloud, we integrate security by design. You get the full power of modern AI governance and flexible deployment without ever risking your IP or waiting quarters for IT approvals.
No waiting for IT. No compliance risk. Deployment in weeks, not quarters.
Structured coaching, clear documentation, and hands-on workshops to build your team's capability.
Our ultimate goal is your complete autonomy. We don't just hand over a black-box model; we provide hands-on training and clear documentation to ensure a seamless knowledge transfer. Through structured upskilling and practical MLOps coaching, we empower your automotive engineers to independently manage, maintain, and scale the AI systems we build together. Your team runs it, your company owns it, and the expertise stays in-house.
No recurring consulting dependency. Your team runs it. Knowledge stays.
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From ECU prototype to production — we've shipped SDV systems end-to-end for VW and BMW Group.
Built on over 15 years of Connected Car engineering across the VW Group and BMW Group. From ECU prototype to production — we've shipped Software Defined Vehicle systems end-to-end. We know exactly where AI creates real leverage in your development process — and where it doesn't.
A senior team fluent in both AI and automotive — no junior staffing, no management layers.
Our deep expertise means zero translation loss between your engineering bottlenecks and our technical solutions. We don't just treat data as abstract numbers in a cloud dashboard; we understand the hardware that generates it. From how signals originate in ECUs and bus systems to the physical behavior of the vehicle on the road, we combine this holistic systems view with advanced AI architectures to build solutions that actually work in practice.
Everything runs on your infrastructure — no data leaves, no lock-in. Full ownership from day one.
Strict IT policies, TISAX requirements, and GDPR make cloud-first AI a compliance challenge. We've worked inside these constraints for over a decade — on BMW and VW Group infrastructure, with their security protocols and compliance frameworks. Everything runs on your systems. No data leaves, no lock-in. Full ownership from day one.
We clarify where AI can create measurable value in your development process — in a way that is technically sound, measurable, and feasible with reasonable implementation effort.